Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

Harmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations to the proper implementation of water safety plans. This work combines automatic high-frequency monitoring (AFHM) systems with machine lea...

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Detalles Bibliográficos
Autores principales: Mozo, Alberto, Morón-López, Jesús, Vakaruk, Stanislav, Pompa-Pernía, Ángel G., González-Prieto, Ángel, Aguilar, Juan Antonio Pascual, Gómez-Canaval, Sandra, Ortiz, Juan Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360045/
https://www.ncbi.nlm.nih.gov/pubmed/35941263
http://dx.doi.org/10.1038/s41598-022-17299-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360045/
https://www.ncbi.nlm.nih.gov/pubmed/35941263
http://dx.doi.org/10.1038/s41598-022-17299-5

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